System Software and Performance Engineer, Silicon
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Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering or Computer Science, or equivalent practical experience.
- 4 years of experience conducting full-stack performance analysis and optimization on software systems.
- Experience with C/C++ or Java, and scripting languages (e.g., Python).
Preferred qualifications:
- Master's or PhD degree in Electrical Engineering, Computer Engineering or Computer Science, emphasizing on computer architecture, or equivalent practical experience.
- Experience with Linux Kernel, in processes, threads, scheduling, system calls, interrupts and exceptions.
- Experience with Toolchains, compilers, JIT compilation and symbolization, or Android system software stack.
- Knowledge of Computer Architecture, Instruction Set Architecture (ISA) and Assembly Language.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.As a System Software and Performance Architect, you will collaborate with Android, Pixel, AI, and CPU teams to develop CPU technologies. Based on the infrastructures and methodologies built, you will explore workloads and CPU design together to provide insights for hardware and software co-design. You will build traces and benchmarks to provide a consistent view of the workload for all stakeholders to do performance evaluation. Your work would contribute to enhancing many Google’s products and to the success of Google’s CPU project.Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
- Perform analysis on workloads and kernels to identify performance bottlenecks that others miss.
- Plan and evaluate ARM architecture features, providing data-driven insights that shape future SoC designs.
- Partner with Android workload owners, tool-chain experts, and device teams to implement full-system optimizations.
- Design the benchmarks and modeling methodology that will define the next decade of Hardware/Software co-design.
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